Check failure stack trace: Aborted (core dumped) Check failed: registry.count(type) == 1 (0 vs. 1)

[showaichuan]

hi, when I download the code and just cd to the python-demo dir , run the 'python test_deconv.py ' command,, then it throw an error like blew:

I0527 20:22:11.013113 17197 layer_factory.hpp:77] Creating layer input
I0527 20:22:11.013123 17197 net.cpp:84] Creating Layer input
I0527 20:22:11.013126 17197 net.cpp:380] input -> data
I0527 20:22:11.013139 17197 net.cpp:122] Setting up input
I0527 20:22:11.013146 17197 net.cpp:129] Top shape: 10 3 227 227 (1545870)
I0527 20:22:11.013147 17197 net.cpp:137] Memory required for data: 6183480
I0527 20:22:11.013150 17197 layer_factory.hpp:77] Creating layer conv1
I0527 20:22:11.013155 17197 net.cpp:84] Creating Layer conv1
I0527 20:22:11.013159 17197 net.cpp:406] conv1 <- data
I0527 20:22:11.013161 17197 net.cpp:380] conv1 -> conv1
I0527 20:22:11.182510 17197 net.cpp:122] Setting up conv1
I0527 20:22:11.182545 17197 net.cpp:129] Top shape: 10 96 55 55 (2904000)
I0527 20:22:11.182548 17197 net.cpp:137] Memory required for data: 17799480
I0527 20:22:11.182562 17197 layer_factory.hpp:77] Creating layer relu1
I0527 20:22:11.182570 17197 net.cpp:84] Creating Layer relu1
I0527 20:22:11.182572 17197 net.cpp:406] relu1 <- conv1
I0527 20:22:11.182575 17197 net.cpp:367] relu1 -> conv1 (in-place)
I0527 20:22:11.182678 17197 net.cpp:122] Setting up relu1
I0527 20:22:11.182696 17197 net.cpp:129] Top shape: 10 96 55 55 (2904000)
I0527 20:22:11.182698 17197 net.cpp:137] Memory required for data: 29415480
I0527 20:22:11.182699 17197 layer_factory.hpp:77] Creating layer pool1
F0527 20:22:11.182725 17197 layer_factory.hpp:81] Check failed: registry.count(type) == 1 (0 vs. 1) Unknown layer type: PoolingSwitches (known types: AbsVal, Accuracy, ArgMax, BNLL, BatchNorm, BatchReindex, Bias, Concat, ContrastiveLoss, Convolution, Crop, Data, Deconvolution, Dropout, DummyData, ELU, Eltwise, Embed, EuclideanLoss, Exp, Filter, Flatten, HDF5Data, HDF5Output, HingeLoss, Im2col, ImageData, InfogainLoss, InnerProduct, Input, LRN, LSTM, LSTMUnit, Log, MVN, MemoryData, MultinomialLogisticLoss, PReLU, Parameter, Pooling, Power, Python, RNN, ReLU, Reduction, Reshape, SPP, Scale, Sigmoid, SigmoidCrossEntropyLoss, Silence, Slice, Softmax, SoftmaxWithLoss, Split, TanH, Threshold, Tile, WindowData)
*** Check failure stack trace: ***
Aborted (core dumped)

because I am not familiar with caffe, so pls help me how to solve the problem , thanks

[clmtulip]

same problem with you

[badaodao]

same problem with you! could you tell me that how did you solve it ?Thank you very much！